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Quantum Computing Research Scientist 2026

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. Our multidisciplinary team operates at the intersection of physics, computer science, and artificial intelligence in a collaborative environment designed for breakthrough innovation. Enjoy competitive compensation, flexible work arrangements, and comprehensive benefits while contributing to projects that shape the future of global technology infrastructure.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Develop error mitigation techniques for quantum hardware scalability
  • Collaborate with hardware teams to integrate quantum-classical hybrid systems
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through government and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in linear algebra, probability, and complex systems modeling
  • Proficiency in Python/C++ with high-performance computing experience
  • Demonstrated ability to secure research grants or industry partnerships
  • Strong written and verbal communication skills for technical audiences

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Python C++ Qiskit Research Error Correction Physics High-Performance Computing

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